Kevin Rossi

1.1k total citations
33 papers, 818 citations indexed

About

Kevin Rossi is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Catalysis. According to data from OpenAlex, Kevin Rossi has authored 33 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 11 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Catalysis. Recurrent topics in Kevin Rossi's work include Machine Learning in Materials Science (14 papers), nanoparticles nucleation surface interactions (8 papers) and Electrocatalysts for Energy Conversion (7 papers). Kevin Rossi is often cited by papers focused on Machine Learning in Materials Science (14 papers), nanoparticles nucleation surface interactions (8 papers) and Electrocatalysts for Energy Conversion (7 papers). Kevin Rossi collaborates with scholars based in Switzerland, United Kingdom and Italy. Kevin Rossi's co-authors include Raffaella Buonsanti, Francesca Baletto, Claudio Zeni, Aldo Glielmo, Anna Loiudice, Mark A. Newton, Dragos Stoian, Alexander N. Chen, Valery Okatenko and Stefano de Gironcoli and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Kevin Rossi

30 papers receiving 806 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Rossi Switzerland 16 478 422 275 140 125 33 818
Lasse B. Vilhelmsen Denmark 10 597 1.2× 208 0.5× 137 0.5× 75 0.5× 58 0.5× 11 684
Lauro Oliver Paz‐Borbón Mexico 17 805 1.7× 191 0.5× 113 0.4× 111 0.8× 417 3.3× 34 996
Marcin Dułak Switzerland 11 375 0.8× 177 0.4× 109 0.4× 98 0.7× 48 0.4× 16 708
Makito Takagi Japan 11 362 0.8× 120 0.3× 82 0.3× 103 0.7× 21 0.2× 28 613
Kavita Joshi India 17 563 1.2× 110 0.3× 64 0.2× 188 1.3× 331 2.6× 62 1.0k
Jorge Vargas Mexico 12 326 0.7× 399 0.9× 34 0.1× 331 2.4× 36 0.3× 39 721
Lucas Koziol United States 14 147 0.3× 58 0.1× 53 0.2× 50 0.4× 73 0.6× 26 506
Yinming Pan China 15 429 0.9× 59 0.1× 109 0.4× 29 0.2× 24 0.2× 43 592
Tiago Vinicius Alves Brazil 15 423 0.9× 225 0.5× 40 0.1× 103 0.7× 51 0.4× 63 784
A. Brad Anton United States 17 527 1.1× 118 0.3× 294 1.1× 130 0.9× 75 0.6× 29 815

Countries citing papers authored by Kevin Rossi

Since Specialization
Citations

This map shows the geographic impact of Kevin Rossi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kevin Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Rossi more than expected).

Fields of papers citing papers by Kevin Rossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Rossi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kevin Rossi. The network helps show where Kevin Rossi may publish in the future.

Co-authorship network of co-authors of Kevin Rossi

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Rossi. A scholar is included among the top collaborators of Kevin Rossi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Rossi. Kevin Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rossi, Kevin, Peng Bai, Marcello Rigutto, et al.. (2025). Machine Learning-Based Predictions of Henry Coefficients for Long-Chain Alkanes in One-Dimensional Zeolites: Application to Hydroisomerization. The Journal of Physical Chemistry C. 129(40). 18234–18249.
2.
Rossi, Mariana, et al.. (2025). Learning the Electrostatic Response of the Electron Density through a Symmetry-Adapted Vector Field Model. The Journal of Physical Chemistry Letters. 16(9). 2326–2332. 3 indexed citations
3.
Rossi, Kevin, Dario Faust Akl, Javier Heras‐Domingo, et al.. (2024). Quantitative Description of Metal Center Organization and Interactions in Single‐Atom Catalysts (Adv. Mater. 5/2024). Advanced Materials. 36(5). 2 indexed citations
4.
Rossi, Kevin, et al.. (2023). Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials. Physical review. B.. 107(17). 14 indexed citations
5.
Rossi, Kevin, et al.. (2023). Modeling and characterization of the nucleation and growth of carbon nanostructures in physical synthesis. Carbon Trends. 11. 100268–100268. 5 indexed citations
6.
Zeni, Claudio, Andrea Anelli, Aldo Glielmo, Stefano de Gironcoli, & Kevin Rossi. (2023). Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems. Digital Discovery. 3(1). 113–121. 6 indexed citations
7.
Rossi, Kevin, Dario Faust Akl, Javier Heras‐Domingo, et al.. (2023). Quantitative Description of Metal Center Organization and Interactions in Single‐Atom Catalysts. Advanced Materials. 36(5). e2307991–e2307991. 28 indexed citations
8.
Okatenko, Valery, Anna Loiudice, Mark A. Newton, et al.. (2023). Alloying as a Strategy to Boost the Stability of Copper Nanocatalysts during the Electrochemical CO2 Reduction Reaction. Journal of the American Chemical Society. 145(9). 5370–5383. 119 indexed citations
9.
10.
Andritsos, Eleftherios I. & Kevin Rossi. (2022). Accelerating the theoretical study of Li‐polysulfide adsorption on single‐atom catalysts via machine learning approaches. International Journal of Quantum Chemistry. 122(17). e26956–e26956. 4 indexed citations
11.
Rossi, Kevin, Tzonka Mineva, Jean‐Sébastien Filhol, Frederik Tielens, & Hazar Guesmi. (2022). Realistic Modelling of Dynamics at Nanostructured Interfaces Relevant to Heterogeneous Catalysis. Catalysts. 12(1). 52–52.
12.
Varandili, Seyedeh Behnaz, Dana Stoian, Jan Vávra, et al.. (2021). Elucidating the structure-dependent selectivity of CuZn towards methane and ethanol in CO2 electroreduction using tailored Cu/ZnO precatalysts. Chemical Science. 12(43). 14484–14493. 59 indexed citations
13.
Zeni, Claudio, Kevin Rossi, Joseph Kioseoglou, et al.. (2021). Data-driven simulation and characterisation of gold nanoparticle melting. Nature Communications. 12(1). 6056–6056. 53 indexed citations
14.
Rossi, Kevin, et al.. (2021). Born to be different: the formation process of Cu nanoparticles tunes the size trend of the activity for CO2 to CH4 conversion. Nanoscale. 13(11). 5857–5867. 11 indexed citations
15.
Rossi, Kevin, et al.. (2020). A universal signature in the melting of metallic nanoparticles. Nanoscale. 13(2). 1172–1180. 30 indexed citations
16.
Rossi, Kevin, et al.. (2019). Correlating Oxygen Reduction Reaction Activity and Structural Rearrangements in MgO‐Supported Platinum Nanoparticles. ChemPhysChem. 20(22). 3037–3044. 7 indexed citations
17.
Rossi, Kevin, Lívia B. Pártay, Gábor Cśanyi, & Francesca Baletto. (2018). Thermodynamics of CuPt nanoalloys. Scientific Reports. 8(1). 9150–9150. 23 indexed citations
18.
Rossi, Kevin, et al.. (2017). Melting of large Pt@MgO(1 0 0) icosahedra. Journal of Physics Condensed Matter. 29(14). 145402–145402. 14 indexed citations
19.
Rossi, Kevin, et al.. (2016). Controlling Structural Transitions in AuAg Nanoparticles through Precise Compositional Design. The Journal of Physical Chemistry Letters. 7(21). 4414–4419. 17 indexed citations
20.
Rossi, Kevin, F. Abbattista, Daniele Mazza, & M. Vallino. (1988). Nek tetrakonal phase in the system La-Ce-Li-O. Materials Chemistry and Physics. 20(2). 163–169. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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